Abstract
A best solution for decreasing software cost and reducing the cycle time during software development is automatic software testing and it has been seen by various organization. User specifications and requirements can be fully achieved by software testing. A number of issues are underlying in the field of software testing such as prioritization of test cases and automatic and effective test case generation are to be handled properly and they mostly depends on duration, cost and effort during the testing process. Testing can be done in two different ways such as manual testing and automatic testing by using different testing tools. Manual testing are very time consuming and this can be overcome by automatic testing by generating test cases automatically. Several types of evolutionary techniques like Genetic Algorithm, Particle Swarm Optimization and Bee Colony Optimization have been used for software testing. In this research paper, a survey of different evolutionary techniques used in software testing have been presented by taking the various issues in to account.
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Mishra, D.B., Mishra, R., Das, K.N., Acharya, A.A. (2017). A Systematic Review of Software Testing Using Evolutionary Techniques. In: Deep, K., et al. Proceedings of Sixth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 546. Springer, Singapore. https://doi.org/10.1007/978-981-10-3322-3_16
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